MKG 350 VanMeter Review – Flashcards
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marketing
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activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large
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marketing concept
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business philosophy that holds the key to achieving organizational goals consists of the company being more effective than competitors in creating, delivering, and communicating customer value to its chosen target markets
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marketing research
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process of designing, gathering, analyzing, and reporting info. that may be used to solve a specific marketing problem
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market research
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process used to define the size, location, and or makeup of the market for a product or service
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basic research
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conducted to expand knowledge rather than to solve a specific problem
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applied research
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research conducted to solve specific problems
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marketing information system (MIS)
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structure consisting of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute needed, timely, and accurate info. to marketing decision makers
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how many steps in marketing research process?
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11 steps
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descriptive research
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the most basic objective in that the goal is to describe marketing phenomena
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prescriptive research
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provides info. that allows the manager to best remedy the dissatisfaction
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exploratory research
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form of causal, informal research that is undertaken to learn more about the research problem. unstructured and informal manner (ex: focus groups, case analysis, etc.)
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causal research
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attempt to uncover what factor(s) cause some event
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primary info.
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collected specifically for the person at hand
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secondary info.
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info. that has been previously collected
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problems
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situations that call for managers to make decisions among alternatives
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symptoms
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changes in level of some key monitor or that measures the achievement of an objective (ex: "we have a problem..we are losing money")
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research objectives should be:
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1. precise, clear, and detailed 2. specify from whom 3. specify what construct(s) 4. state unit of measurement
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questionnaire should be:
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worded objectively, clearly, and without bias
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data analysis
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entering data into computer files, inspecting data for errors, and running tabulations and various statistical tests.
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focus groups
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small groups brought together and guided by a moderator through an unstructured, spontaneous discussion for the purpose of gaining information relevant to the research problem
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2 types of descriptive research
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cross sectional and longitudinal studies
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cross-sectional
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Measure units from a sample of the population at only one point in time.
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longitudinal
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Repeatedly measure the same sample units of a population over time
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2 types of marketing research panels
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continuous and discontinuous
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continuous panels
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panels ask panel members the same questions on each round of measurement
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discontinuous panels
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panels vary questions from one round to the next.
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experiment
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manipulating an independent variable to see how it affects a dependent variable while also controlling the effects of additional extraneous variables
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experimental design
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is a procedure for devising an experimental setting such that a change in a dependent variable may be attributed solely to the change in an independent variable.
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independent variables
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variables which the researcher has control over and wishes to manipulate
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dependent variables
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variables that are believed to be affected by the independent variables; those variables that we have little or no direct control over but a strong interest in changing
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extraneous variables
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variables that may have some effect on a dependent variable yet are not independent variables must be controlled through proper experimental design
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control group
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control of extraneous variables typically achieved by the use of a second group of subjects
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experimental group
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group that has been exposed to a change in the independent variable
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quantitative research
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research involving the use of structured questions in which response options have been predetermined and a large number of respondents involved
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qualitative research
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research involving collecting, analyzing, and interpreting data by observing what people do and say
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pluralistic research
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combination of both quantitative and qualitative research methods in order to gain the advantages of both (ex: we did this in our project)
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types of observation
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Direct versus indirect Overt versus covert Structured versus unstructured In situ versus invented
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in-depth interview
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is a set of probing questions posed one-on-one to a subject by a trained interviewer so as to gain an idea of what the subject thinks about something or why he or she behaves a certain way.
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laddering
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attempts to discover how product attributes are associated with consumer values
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direct observation
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observing behavior as it occurs
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indirect observation
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observing the effects or results of the behavior rather than the behavior itself
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covert observation
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the subject is unaware that he/she is being observed
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overt observation
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the subject is aware that he/she is being observed
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structured observation
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the researched identifies beforehand which behaviors are to be recorded and observed
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unstructured observation
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places no restriction on what the observer notes
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insitu observation
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the researcher observes the behavior exactly how it happens
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invented observation
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occurs when the researcher creates the situation
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objective properties
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physically verifiable
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subjective properties
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mental constructs
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How many types of data?
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2 (categorial and metric)
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How many types of measures?
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4 (nominal, ordinal, interval, and ratio)
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nominal scales
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use only labels (ex: yes/no, gender, religion)
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ordinal scales
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researcher can rank/order the respondents (ex: class ranking, level of education)
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interval scales
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distance between each descriptor is equal (ex: likert scale)
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ratio scales
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true zero exists (ex: number of children, money spent)
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4 Do's when wording questions
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single issue, brief, grammatically simple, crystal clear
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4 Don'ts when wording questions
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do not lead to answer(strong cue of what answer to choose), no loaded questions (universal beliefs), no double barreled questions (2 different questions in one), do not use words that overstate the case (undue emphasis on one aspect of the topic)
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descriptive analysis
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used by marketing researchers to describe the sample dataset in such a way to portray the typical respondent and to reveal the general pattern of responses
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inference analysis
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when marketing researchers use statistical procedures to generalize the results of the sample to the target population it represents
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difference analysis
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determine the degree to which real and generalizable differences exist in the population to help the manager make an enlightened decision on which advertising theme to use
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association analysis
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investigates if and how 2 variables are related
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predictive analysis
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help make forecasts for future events
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measures of central tendency
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(mode, median, mean) report a single piece of info. that describes most typical response to a question
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statistical inference
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set of procedures in which the sample size and sample statistic are used to make an estimate of the corresponding population parameter
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hypothesis test
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used to compare the sample statistic with what is believed to be the population value prior is undertaking to study
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confidence intervals
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degree of accuracy desired by the researcher and stipulated as a level of confidence in the form of the range with a lower boundary and and upper boundary
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ANOVA
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3 or more, if one group is significantly different than the other (f test and schefe)
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post HOC tests
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options available to determine where the pair of statistically significant differences between the means exist
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independent sample t-tests
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groups that are mutually exclusive (can't be in both ex: gender)
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paired sample t-tests
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pairs of questions everyone responded to, same scale, and compare the means (ex: jazz or string quartet)
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functions of data analysis
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summarization (measures and statistical values) conceptualization (words/graphics) communication (describing patterns/relationships) generalization (how sample relates to population)
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associative analysis
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determines strength and direction of relationships between 2 or more variables determines if there is a consistent and systematic relationship
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how to characterize a relationship
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1. presence (statistical issue, null hypothesis: no relationship) 2. strength (consistency, strong moderate or weak) 3. direction (positive or negative)
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cross tabs and chi square
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investigates relationship between 2 nominal scaled variables (if chi square is greater than critical value, we reject null b/c there is a relationship)